[18F]FDG-PET to identify pathological responses upon neoadjuvant immune checkpoint blockade in cutaneous squamous cell carcinoma.

Authors

null

Sabine Breukers

The Netherlands Cancer Institute (NKI), Amsterdam, Netherlands

Sabine Breukers , Robert D. Crommelin , Laura Smit , J.P. De Boer , Arash Navran , Winan J. van Houdt , Remco de Bree , Lot A. Devriese , John B. A. G. Haanen , Charlotte L. Zuur , Maurits Wondergem

Organizations

The Netherlands Cancer Institute (NKI), Amsterdam, Netherlands, The Netherlands Cancer Institute, Amsterdam, Netherlands, Antoni van Leeuwenhoek Hospital/Netherlands Cancer Institute, Amsterdam, Netherlands, Netherlands Cancer Institute, Amsterdam, Netherlands, Department of Head and Neck Surgical Oncology, University Medical Center Utrecht, Utrecht, Netherlands, Department of Medical Oncology, University Medical Cancer Center Utrecht, Utrecht, Netherlands, Division of Medical Oncology, Netherlands Cancer Institute, Amsterdam, Netherlands, Department of Head and Neck Surgical Oncology, Netherlands Cancer Institute (NKI-AVL), Amsterdam, Netherlands

Research Funding

Other
The MATISSE trial is an investigator-initiated phase-2 clinical trial, partly funded bij Brystol-Myer-Squibb (BMS) and KIKI-foundation (private)

Background: To improve clinical prospects of patients with locally advanced cutaneous SCC (CSCC), we tested the efficacy of neoadjuvant nivolumab with or without ipilimumab prior to standard of care curative surgery ± radiotherapy; the MATISSE trial (NCT04620200). Neoadjuvant immunotherapy-response prediction via FDG-PET imaging was demonstrated feasible in the IMCISION trial (PMID 34937871), where a decrease of ≥12.5% in total-lesion glycolysis (TLG) upon immunotherapy identified deep pathological responders to immunotherapy in head and neck SCC prior to surgery with 95% accuracy. The current research investigates the predictive power of FDG-PET to identify deep pathological responses to neoadjuvant immunotherapy in MATISSE patients. Methods: 26 patients with primary CSCC (stage I‒IVa) were treated with neoadjuvant nivolumab with (n = 14) or without (n = 12) ipilimumab (weeks 0 and 2). FDG-PET/CT scans were evaluable at baseline and shortly before surgery (week 4) in 20 patients. Images were analysed for SUVmax, metabolic tumor volume (MTV), and TLG. Responders to immunotherapy were defined as having a major or partial pathological response to immunotherapy (MPR and PPR, showing ≤ 10% and 11-50% remaining viable cancer cells at time of surgery, respectively). Results: Overall, median SUVmax, MTV, and TLG decreased upon immunotherapy at the primary tumor site in responders (n = 15),whereas median SUVmax, MTV and TLG increased in non-responders (Table). Three patients with stable or increased SUVmax, MTV and TLG, also showed a pathological response and were classified as pseudo-progressive. Another patient with a MPR had an increase in SUVmax, but a decrease in MTV and TLG. All patients with any decline in SUVmax, MTV or TLG at the primary tumor site showed a pathological response (PPV 100%) and none of them developed a relapse at median follow-up 9.0 months. Conclusions: Primary tumor response assessment using FDG-PET-based ΔSUVmax, ΔMTV and ΔTLG accurately identifies pathological responses early upon neoadjuvant immunotherapy in cutaneous SCC. FDG-PET could, upon validation, select CSCC patients for response-driven treatment adaptation in future trials. FDG-PET-CT upon neoadjuvant immunotherapy in CSCC, changes in PET-parameters and predictive values of any decline in SUVmax, MTV or TLG. Clinical trial information: NCT04620200.

Responders
n=15
Non-responders
n=5
p-valuePPV (%)NPV (%)Sens (%)Spec (%)
ΔSUVmax
median (range)
-32.5 (-78.9 – +230.8)+15.2 (+1.0 – +50.3)0.02a1005573100
ΔMTV
median (range)*
-95.4 (-100.0 – +90.0)+187.0 (+14.1 – +272.0)<0.002a1005777100
ΔTLG
median (range)*
-95.8 (-100.0 – +69.6)+215.7 (+19.9 – +312.8)<0.002a1005777100

a = p-values calculated with Mann-Whitney U test. PPV = positive predictive value, NPV = negative predictive value, Sens = sensitivity, Spec = specificity. *based on 13 responders and 4 non-responders.

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Abstract Details

Meeting

2023 ASCO Annual Meeting

Session Type

Poster Session

Session Title

Melanoma/Skin Cancers

Track

Melanoma/Skin Cancers

Sub Track

Local-Regional Disease

Clinical Trial Registration Number

NCT04620200

Citation

J Clin Oncol 41, 2023 (suppl 16; abstr 9584)

DOI

10.1200/JCO.2023.41.16_suppl.9584

Abstract #

9584

Poster Bd #

347

Abstract Disclosures

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